我有过去一年在我店里销售的所有商品的订单数据。该表如下所示:
order_date item_id item_name order_quantity unit_price
--------------------------------------------------------------------
01-01-2017 a123 a234 2 10
04-02-2017 b123 b234 3 12
04-09-2017 c123 c234 1 15
04-10-2017 b123 b234 2 12
我需要提取按周,月和季度销售的唯一商品数量的数据。查询输出应如下所示:
timeline number unique_item_count
week 1 1
week 14 1
week 15 2
month 1 1
month 4 2
quarter 2 2
我尝试过以下方法:
SELECT
TO_CHAR(c.ORDER_DAY, 'Q') AS QTR,
TO_CHAR(c.ORDER_DAY, 'MM') AS MNTH,
TO_CHAR(c.ORDER_DAY, 'WW') AS WK,
COUNT(DISTINCT CASE WHEN (c.QUANTITY*c.OUR_PRICE) > 0 THEN ITEM_ID ELSE NULL END) AS SALES_CNT
FROM TABLE c
GROUP BY TO_CHAR(c.ORDER_DAY, 'Q'), TO_CHAR(c.ORDER_DAY, 'MM'), TO_CHAR(c.ORDER_DAY, 'WW');
这适用于每周数据,但是,每月和每季度只是每周数字的总和,在这种情况下是不正确的,因为相同的项目可能会在两个不同的周内订购,因此每月数量应该更低。
有没有办法拉出每周,每月,每季度购买的独特商品数量?
谢谢!
答案 0 :(得分:0)
您可以使用union all
:
SELECT 'Q' as timeline, TO_CHAR(c.ORDER_DAY, 'Q') AS number,
COUNT(DISTINCT CASE WHEN (c.QUANTITY*c.OUR_PRICE) > 0 THEN ITEM_ID END) AS SALES_CNT
FROM TABLE c
GROUP BY TO_CHAR(c.ORDER_DAY, 'Q')
UNION ALL
SELECT 'MM' as timeline, TO_CHAR(c.ORDER_DAY, 'MM') AS number,
COUNT(DISTINCT CASE WHEN (c.QUANTITY*c.OUR_PRICE) > 0 THEN ITEM_ID END) AS SALES_CNT
FROM TABLE c
GROUP BY TO_CHAR(c.ORDER_DAY, 'MM')
UNION ALL
SELECT 'WW' as timeline, TO_CHAR(c.ORDER_DAY, 'WW') AS number,
COUNT(DISTINCT CASE WHEN (c.QUANTITY*c.OUR_PRICE) > 0 THEN ITEM_ID END) AS SALES_CNT
FROM TABLE c
GROUP BY TO_CHAR(c.ORDER_DAY, 'WW');
答案 1 :(得分:0)
您可以使用createdById
:
Oracle 11g R2架构设置:
UNPIVOT
查询1 :
CREATE TABLE table_c (
order_date,
item_id,
item_name,
order_quantity,
order_price
) AS
SELECT DATE '2017-09-01' + LEVEL * 3 - 3, 1, 'aaa', 1, 1 FROM DUAL CONNECT BY LEVEL <= 10
UNION ALL
SELECT DATE '2017-09-01' + LEVEL * 4 - 4, 2, 'bbb', 1, 1 FROM DUAL CONNECT BY LEVEL <= 10
UNION ALL
SELECT DATE '2017-09-01' + LEVEL * 5 - 5, 3, 'ccc', 1, 1 FROM DUAL CONNECT BY LEVEL <= 10
<强> Results 强>:
SELECT year,
timeline,
"number",
COUNT( DISTINCT item_id )
FROM (
SELECT TO_CHAR( order_date, 'WW' ) AS week,
TO_CHAR( order_date, 'MM' ) AS month,
TO_CHAR( order_date, 'Q' ) AS quarter,
EXTRACT( YEAR from order_date ) AS year,
item_id
FROM table_c
WHERE order_quantity > 0
AND order_price > 0
)
UNPIVOT ( "number" FOR timeline IN ( week AS 'week', month AS 'month', quarter AS 'quarter' ) )
GROUP BY year, timeline, "number"
ORDER BY year, timeline, "number"
答案 2 :(得分:0)
您可以使用GROUPING SETS
在单个查询中以不同级别进行汇总。像这样:
SELECT CASE
WHEN GROUPING (TO_CHAR (c.order_day, 'Q')) = 0 THEN 'Quarter'
WHEN GROUPING (TO_CHAR (c.order_day, 'MM')) = 0 THEN 'Month'
WHEN GROUPING (TO_CHAR (c.order_day, 'WW')) = 0 THEN 'Week'
ELSE '??'
END
timeline,
CASE
WHEN GROUPING (TO_CHAR (c.order_day, 'Q')) = 0 THEN TO_CHAR (c.order_day, 'Q')
WHEN GROUPING (TO_CHAR (c.order_day, 'MM')) = 0 THEN TO_CHAR (c.order_day, 'MM')
WHEN GROUPING (TO_CHAR (c.order_day, 'WW')) = 0 THEN TO_CHAR (c.order_day, 'WW')
ELSE '??'
END
"NUMBER",
COUNT (DISTINCT CASE WHEN (c.quantity * c.our_price) > 0 THEN item_id ELSE NULL END) unique_item_count
FROM c
GROUP BY GROUPING SETS (
(TO_CHAR (c.order_day, 'Q')),
(TO_CHAR (c.order_day, 'MM')),
(TO_CHAR (c.order_day, 'WW')))